28th International Symposium On Reliable Distributed Systems September 27-30, 2009. Niagara Falls, New York, U.S.A. Supersedes Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-08-113, October 2008.
Matthew Wachs, Gregory R. Ganger
Electrical and Computer Engineering
Carnegie Mellon University
Pittsburgh, PA 15213
Disk timeslicing is a promising technique for storage performance insulation. To work with cluster-based storage, however, timeslices associated with striped data must be co-scheduled on the corresponding servers. This paper describes algorithms for determining global timeslice schedules and mechanisms for coordinating the independent server activities. Experiments with a prototype show that, combined, they can provide performance insulation for workloads sharing a storage cluster—each workload realizes a configured minimum efficiency within its timeslices regardless of the activities of the other workloads.
KEYWORDS: performance isolation, quality of service, shared storage, performance, clustering, approximation algorithms, heuristics, strip packing
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